Deep Learning in Medical Image Analysis

Name: Deep Learning in Medical Image Analysis
Brand: Springer Nature Switzerland AG
SKU: 9783030331276
Price: 1147.69 RON
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Challenges and Applications

Autor: Gobert Lee, Hiroshi Fujita

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Editura: Springer Nature Switzerland AG

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This book presents cutting-edge research and applications of deep learning in a broad range of medic...

Informații despre carte

Autor

Gobert Lee, Hiroshi Fujita

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2020

Pagini

181

EAN

9783030331276

Enbook ID

24647391

Editura

Springer Nature Switzerland AG

Greutate

602

Dimensiuni

178 x 254 x 259

Descriere completă

This book presents cutting-edge research and applications of deep learning in a broad range of medical imaging scenarios, such as computer-aided diagnosis, image segmentation, tissue recognition and classification, and other areas of medical and healthcare problems. Each of its chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast lesions on digital mammograms and glaucoma on retinal fundus images. It also provides an overview of deep learning in medical image analysis and highlights issues and challenges encountered by researchers and clinicians, surveying and discussing practical approaches in general and in the context of specific problems. Academics, clinical and industry researchers, as well as young researchers and graduate students in medical imaging, computer-aided-diagnosis, biomedical engineering and computer vision will find this book a great reference and very useful learning resource.

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Deep Learning in Medical Image Analysis

Challenges and Applications

Informații despre carte

Descriere completă

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